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Articles 29
- Detecting internet attacks using a neural network pp. 39-47
- Model of special purpose transport communication network functioning process in the context of the implementation of computer attacks on the level of telecommunication services protection pp. 57-65
- Development of model for detection of computer attacks based on the neural network pp. 67-72
- The comparison of neural network CMAC and multilayer neural network in the task of detection of DoS attacks pp. 65-69
- Practical application of neural networks to protect information management systems critical facilities from DDOS-attacks pp. 16-20
- Management of information systems in conditions of high uncertainty using a Bayesian approach pp. 15-24
- Analysis of the integration capabilities of network attack protection tools for data-intensive systems pp. 5-17
- Detection of zero-day cyber attacks and zero-day malware using machine learning methods pp. 184-198
- Application of multivariate cumulative sum control charts for detecting cyber attacks pp. 74-85
- Cybersecurity of systems implementing data intensive domains. Approaches to the application of artificial intelligence methods to automate the processes of vulnerability detection, detection and prevention of attacks, response to attacks and recovery after attacks pp. 21-34
- Computer simulation of DDOS attacks on continuous monitoring systems pp. 40-46
- Approach to fuzzing testing of network interfaces of Linux family operating systems using hardware virtualization technology pp. 45-52
- Neural network system for detecting and neutralizing remote unauthorized interference into the components of the Internet of Things pp. 63-80
- Network anomaly detection and classification using a combination of two artificial neural networks pp. 45-53
- Disclosure risk model in information networks pp. 51-56
- Architectural implementation of intellectual support privacy the data networks pp. 36-40
- Simulation model of the flow of requests on the transfer of personnel in information and computer networks pp. 86-90
- Analytical model for the formation and display of dynamic variables describing the state of the study of computer networks pp. 80-85
- Architecting the cluster software-defined networking with centralized control, resistant to DDoS pp. 43-48
- Block cipher based on a neural network pp. 16,53-18,54